The influence of selective serotonin reuptake inhibitors on human platelet serotonin
Bibliographic record
Abstract
Clinical depression has been proposed to be an independent risk factor for cardiovascular disease. While it is suggested that selective serotonin reuptake inhibitors (SSRIs) reduce the risk of acute cardiovascular problems of depressed patients, the effect of SSRIs on platelets, the only blood cells committed to serotonin (5-HT) transport, remains largely unknown. The goal of this pilot study was to measure the 5-HT levels in platelets of untreated and SSRI-treated depressed patients and normal subjects and to determine whether the interaction of SSRIs with platelets can explain their possible cardiovascular benefit in patients with depression. Platelet 5-HT was determined by an immunocytochemical assay and high-pressure liquid chromatography with electrochemical detection (HPLC-ECD). In normal control subjects without cardiovascular disease, 78 +/- 8% of platelets were 5-HT-positive (n = 14). Depression caused a significant reduction in platelet 5-HT to 46 +/- 21% in untreated patients (n = 13) and 22 +/- 13% in SSRI-treated patients (n = 14). As a class, all selective serotonin reuptake inhibitors significantly reduced the 5-HT concentration in patient platelets. An inverse relationship of 5-HT level and dose of medication might be suggested. These results correlated well with 5-HT data from HPLC (r = 0.8509, p < 0.001). SSRIs did not affect platelet aggregation and dense granule release in response to thrombin, but significantly reduced ADP-induced platelet aggregation and dense granule release in both patient and normal control samples. The active inhibition of platelet aggregation by SSRIs might explain their cardiovascular benefit.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".